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Based on state level data, researchers conducted an analysis on the correlates of motor vehicle fatalities (measured as the number of deaths per 100,000 people).

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Based on state level data, researchers conducted an analysis on the correlates of motor vehicle fatalities (measured as the number of deaths per 100,000 people). The following factors are considered: population density (measured by population per square mile of a state), road safety (measured by percent of seat belt usage of a state), race/ethnicity (measured by percent black of a state), education (measured by percent of population who have college degrees) and regional differences (four regions: northeast, south, west and Midwest). Read the SPSS output of the regression analysis carefully and answer the following questions. Coefficientsa Model Unstandardized Standardized Coefficients Coefficients B Std. Error Beta Sig 1 (Constant) 29.676 3.935 7.541 .000 Population per square mile -.012 .002 -.530 -4.898 .000 Seat belt usage: Percent -.032 051 -.061 -.623 .536 Percent black .190 .055 .335 3.473 .001 Percent of pop college grads -.399 .140 -.320 -2.843 .007 (Constant) 30.029 4.151 7.234 .000 Population per square mile -.008 003 -.348 -2.749 .009 Seat belt usage: Percent -.084 .054 -.160 -1.566 .125 Percent black . 165 079 290 2.097 .042 Percent of pop college grads -.402 .133 -.323 -3.019 .004 Midwest 1.626 1.752 129 .928 .359 South 3.608 2.028 .313 1.779 .082 West 5.026 1.917 410 2.621 .012 a. Dependent Variable: Motor vehicle fatalities (per 100,000 pop) Model Summary Model Std. Error Change Statistics R Adjusted of the R Square Sig. F R Square R Square Estimate Change Change dfl df2 Change .793a .628 595 3.45751 19.023 45 000 dimension0 837 .700 650 3.21435 3.355 3 42 028

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